{"id":"W4315489496","doi":"10.1109/msmc.2022.3222674","title":"Networking, Decentralization, and Intelligent Control Are Always Cutting-Edge Topics in the IEEE SMC Society [Editorial]","year":2023,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Session (web analytics); Decentralization; Plenary session; Control (management); Enhanced Data Rates for GSM Evolution; Special section; Chen; Work (physics); Section (typography); Computer science; Quality (philosophy); Telecommunications; Library science; Engineering; Political science; World Wide Web; Engineering physics; Artificial intelligence; Law; Mechanical engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096112,0.0001896712,0.0002395287,0.0001521635,0.0002326091,0.0003152254,0.000218026,0.0001807392,0.000004006773],"category_scores_gemma":[0.00004327136,0.0001538968,0.00004284201,0.0008478346,0.0001382298,0.0001490257,0.00004765146,0.0002416843,0.00007221851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181724,"about_ca_system_score_gemma":0.0000101942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891862,"about_ca_topic_score_gemma":0.0004465378,"domain_scores_codex":[0.9987676,0.00002510698,0.0003988759,0.000263096,0.0002168021,0.0003285417],"domain_scores_gemma":[0.999263,0.00009712872,0.0002265282,0.0002437931,0.0001564994,0.00001300648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009703539,0.00007471604,0.1441001,0.0003348311,0.00006734466,0.00001754231,0.0007186114,0.000458539,0.00008642035,0.04257971,0.8098295,0.001722947],"study_design_scores_gemma":[0.0009179718,0.00001396946,0.03283319,0.0001751432,0.00007756238,0.00000586572,0.001403591,0.01534372,0.000007796087,0.00237098,0.9465648,0.0002854207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142957,0.001783597,0.002845503,0.01512241,0.05388528,0.002098512,0.00002582531,0.0008410956,0.009102038],"genre_scores_gemma":[0.9769813,0.000478597,0.000009509099,0.001299,0.02065895,0.00004289041,0.00003750058,0.00002596707,0.0004663006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367352,"threshold_uncertainty_score":0.6275728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129654630066228,"score_gpt":0.2339740633686137,"score_spread":0.2126775170679514,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}